In Search of Home: Housing Crisis in Ottawa and its Effects on Government-Assisted Refugees
Bibliographic record
Abstract
In this thesis, I examine how Government-Assisted Refugees (GARs) from different countries, who arrived in Canada under the Resettlement Assistance Program (RAP), have resettled in Ottawa amidst an unprecedented housing crisis. Drawing on two bodies of scholarship, political anthropology and Critical Refugee Studies (CRS), and anthropological fieldwork conducted between July 2023 and January 2025, I trace the effects of this crisis on GARs' experience of resettlement. Drawing upon my participant observation at the Catholic Center for Immigrants (CCI), interviews with GARs, CCI and RAP employees, and community volunteers, I argue that Canada's resettlement process generates new forms of displacement and food precarity by enforcing an unrealistic one-year timeline for independence. The thesis develops this argument across three chapters: the first chapter traces housing and resettlement policies from the perspective of CCI and RAP employees. I examine GARs' experiences from their initial arrival to their move to more permanent housing. By focusing on GARs' agency, I demonstrate how they engage with regulations to find their desired homes. Finally, the last chapter delineates the hidden effects of the housing crisis, including food insecurity. By following GARs' resettlement process, from their first step at CCI to their permanent housing, I examine policies, welfare programs, benefits, the housing market, and state-led institutions as assemblages. Through this exploration, I document how some GARs manage to find their desired home in Canada, while others experience ongoing displacement and precarity. Additionally, I attempt to shed light on CCI and RAP employees' experiences of working in the midst of a housing crisis and policy ruptures to facilitate GARs' resettlement. Their recommendations and insights are intertwined with GARs' narratives in this thesis's chapters. Finally, I focus on GARs' agency and homemaking strategies among the obstacles that they face from their first day of arrival in Ottawa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".